Analyze programs before compiling tensors

Track graph capture, intermediate representations, symbolic shapes, effects, aliasing, and guards to establish which tensor transformations are valid.

10 published lessons1 module270 min of guided study
  1. 01
    Analyze programs before compiling tensorsadvanced · 10 lessons

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Analyze programs before compiling tensors

Track graph capture, intermediate representations, symbolic shapes, effects, aliasing, and guards to establish which tensor transformations are valid.

  1. 01

    Capture a tensor region without confusing it with the whole program

    Separate tracing, guarded reuse, eager execution, and ahead-of-time export using a small inference pipeline and an explicit compilation budget.

    27 min
  2. 02

    Give every tensor value one definition while tracking storage separately

    Read SSA definitions, predecessor-selected values, dominance, and tensor-versus-buffer semantics without treating unique names as proof of non-aliasing.

    27 min
  3. 03

    Treat symbolic dimensions as a domain with obligations

    Propagate two-dimensional tensor shapes, preserve element counts, and distinguish mathematically valid constraints from what a compiler can establish.

    27 min
  4. 04

    Guard every assumption that changes indexing or semantics

    Derive a stride counterexample and connect artifact dispatch to shape, layout, dtype, device, and explicitly specialized values.

    27 min
  5. 05

    Preserve reads of shared storage across tensor updates

    Analyze two-dimensional views, read-after-write dependencies, functionalization, and safe buffer reuse using a concrete mutation counterexample.

    27 min
  6. 06

    Order observable effects even when tensor values are independent

    Separate value dependencies, mutable state, pseudorandom keys, I/O, and speculation safety when deciding which operations may move or repeat.

    27 min
  7. 07

    Fold what is known without inventing algebraic permission

    Distinguish compile-time constants from dynamic inputs and preserve specified floating-point semantics when simplifying a partially evaluated tensor program.

    27 min
  8. 08

    Measure the boundary instead of declaring every graph break a failure

    Account for compilation, eager regions, dispatch, synchronization, and fusion limits using a fictional pipeline and a synthetic roofline ceiling.

    27 min
  9. 09

    Transform the derivative graph with shapes and saved values intact

    Read reverse-mode tensor IR as a shape-aware program transformation, preserving cotangent accumulation, broadcasts, residuals, and effects.

    27 min
  10. 10

    Validate the analyzed domain, not just one compiled answer

    Combine structural verification, guard-negative fixtures, differential oracles, floating-point tolerances, and bounded proof claims in a compiler validation plan.

    27 min
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